Remote Data Engineer: Build AI-Driven Pipelines & Snowflake
Posted Updated
Jimdo is seeking a Data Engineer to join the Data Platform team. You will build and maintain data pipelines, ensure data quality, and collaborate with analysts and stakeholders to drive data-informed decisions. You will work with Snowflake, dbt, Airflow, AWS, and AI-powered tools in a modern cloud stack.
Ideal candidates have 4+ years in data roles, strong SQL, dbt experience, and proficiency in Python. The role offers remote work with flexible hours and opportunities for professional growth
Build and maintain scalable data pipelines and transformations using dbt, SQL, Python, and Snowflake. Develop and optimize data ingestion workflows, API integrations, and CDC pipelines. Implement data quality checks, testing, monitoring, and observability mechanisms. 4+ years of experience in Data Engineering, Analytics Engineering, or a related field. Strong SQL skills, including complex joins, aggregations, CTEs, and window functions. Hands-on experience with dbt for data transformation, testing, and documentation. Practical experience with cloud data warehouses, preferably Snowflake. Experience building data workflows and automation using Python. Remote work setup Three free Jimdo websites Employee assistance program Learning resources access Remote office setup bonus